GCRI · Innovation and technological change
Frontier technology guide
The frontier technologies The Global Centre for Risk and Innovation (GCRI) follows: artificial intelligence, quantum, biotechnology, space and Earth observation, robotics and advanced computing. For each: what it does, where it stands, what it depends on and where it changes risk. Each links to its GCRI specialist platform, and to the methods behind the analysis. Part of innovation and technological change.
The workspace for frontier technology guide.
Innovation pipeline
GCRI · Stage gates · Example interface, not a record
By readiness level
Readiness criteria
pilot vs gate
Pilot issues
- I-1Data licence for pilot siteTo check7 d
- I-2Observer protocol signedDone5 d
GCRI · Innovation pipeline. Innovation pipeline: example names and illustrative values, not a record.
Six frontier fields, each with a specialist platform.
| Technology | Where it changes risk | Platform |
|---|---|---|
| Artificial intelligence and autonomous systems | Model failure, misuse, concentration of compute, autonomy in safety-critical settings | AI and Autonomous Systems |
| Quantum technologies | Future pressure on current cryptography, new sensing and timing capability | Quantum Technologies |
| Biotechnology | Faster diagnostics and vaccines, dual-use and biosafety concerns | Biotechnology and Biosecurity |
| Space and Earth observation | Hazard monitoring, dependence on satellite timing and imagery | Space and Earth Observation |
| Robotics and advanced industry | Automated production and inspection, worker safety, skills | Advanced Industry and Robotics |
| Data and compute | Energy and water demand, concentration of capacity, data sovereignty | Data and Compute |
They make no claims of activity until their communities, editors and services are in place.
Frontier technologies in 2026: state, dependencies and the risk questions they raise.
| Technology | State, in plain terms | Depends on | Risk question |
|---|---|---|---|
| Artificial intelligence | General-purpose models in wide use; capabilities uneven and hard to evaluate (International AI Safety Report, 2025) | Compute, data, energy, specialised chips | Reliability in high-stakes use; misuse; concentration of supply |
| Quantum technologies | Sensing and communication advancing; fault-tolerant computing not yet demonstrated at useful scale | Cryogenics, precision manufacturing, specialised materials | When current public-key cryptography becomes breakable, and how long migration takes |
| Biotechnology | Gene editing and synthesis cheaper and more widely available | Laboratories, sequence data, reagents | Biosafety and biosecurity; equitable access to benefits |
| Space and Earth observation | More satellites and more open data than ever; congestion in low Earth orbit | Launch, ground segments, spectrum | Debris and collision risk; dependence on satellite timing |
| Robotics and automation | Industrial use mature; mobile and humanoid systems early | Sensors, actuators, control software | Safety near people; labour effects |
| Advanced computing and data centres | Rapid growth in AI-related demand | Electricity, cooling water, grid connections | Energy and water demand, analysed in the IEA’s Energy and AI report of 2025 |
Specialist platforms for each field, and where findings go.
Each technology has a GCRI platform: AI and Autonomous Systems, Quantum, Biotechnology and Biosecurity, Space and Earth Observation, Advanced Industry and Robotics and Data and Compute. Findings are designed for the Exponential Technology series. Specialists can contribute status updates with sources when a field moves, which happens faster than any guide; a dated correction is always welcome.
Four questions for every technology.
- 01
What does it do?
A plain description of the capability, without marketing language.
- 02
How mature is it?
Evidence on current performance and readiness, with the source of each claim.
- 03
What does it depend on?
Inputs such as energy, materials, data, skills and a small number of suppliers.
- 04
How does it change risk?
New capability for resilience, new exposures and the institutions that must respond.
The science behind the guide.
The guide draws on method pages such as quantum computing, sensing and communication, biotechnology platforms and space systems and satellite services. The Global Risks Alliance (GRA) examines financial implications, for example under quantum and cryptographic transition. See also converging technologies and responsible technology.
Where this page’s references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
- International AI Safety Report (chaired by Yoshua Bengio, January 2025)
- NIST FIPS 203, 204 and 205, post-quantum cryptography standards (NIST, 2024)
- International Year of Quantum Science and Technology 2025 (UN General Assembly resolution 78/287)
- WHO Global guidance framework for the responsible use of the life sciences (WHO, 2022)
- Biological Weapons Convention (UN Office for Disarmament Affairs)
- Guidelines for the Long-term Sustainability of Outer Space Activities (UN COPUOS, 2019)
- Energy and AI, special report (International Energy Agency, 2025)
Questions and answers.
Is the guide a ranking of technologies?
How current is the guide?
Can I contribute expertise on a technology?
Why include data and compute as a frontier field?
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